Analytics Scientist - Dealer Distribution
Auto Req ID:
29801BR
Job Title:
Analytics Scientist - Dealer Distribution
Location:
Dearborn
State:
MI
Company:
Ford Motor Company
Job Description
Position Description/Overview:
Ford Motor Company's Global Data, Insight, and Analytics (GDIA) organization is looking for a motivated, high-potential Analytics Scientist to perform data mining, analytics, segmentation and modeling work as a member of the Dealer Distribution Analytics team in GDIA. This role will work on building advanced models to understand dealer behavior, and report results in appropriate forums.
Responsibilities:
Responsibilities include, but are not limited to:
Job Requirements:
Basic Qualifications:
Preferred Qualifications:
At Ford Motor Company, the distance between you and an amazing career has never been shorter. Join the Ford team today, and discover the benefits, rewards and development opportunities you’d expect from a diverse global leader.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.
Ford Motor Company is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. Ford Motor Company also is committed to take affirmative action to employ and advance in employment such persons.
Position Description/Overview:
Ford Motor Company's Global Data, Insight, and Analytics (GDIA) organization is looking for a motivated, high-potential Analytics Scientist to perform data mining, analytics, segmentation and modeling work as a member of the Dealer Distribution Analytics team in GDIA. This role will work on building advanced models to understand dealer behavior, and report results in appropriate forums.
Responsibilities:
Responsibilities include, but are not limited to:
- Utilize statistical software (e.g., SAS, Matlab, R, Python) to develop models, forecasts, segmentation/cluster, and optimization algorithms
- Easily accustomed to new software tools (e.g., Alteryx, QlikView, ArcGIS, AnyLogic, Tableau)
- Proficient in Data Carpentry skills - work with various data sources and platforms (e.g., PC, Hadoop, Teradata) to compile data and investigate anomalies within the data
- Maintain models and algorithms on an ongoing basis
- Execute both descriptive and inferential ad hoc requests in a timely manner
- Work closely with business customers, IT, and other analytical teams within the GDIA organization
- Communicate and present models to business customers and executives
Job Requirements:
Basic Qualifications:
- Master’s degree in a quantitative field such as Statistics, Economics, Applied Mathematics, Operations Research, Engineering, Physics, or similar technical field
- 3+ years of experience utilizing statistical and econometric; (i.e., logistic regression, time series, seasonal adjustments, systems dynamics)
- 3+ years of experience managing multiple projects within a specified timeframe
- 3+ years of experience using one or more of the following software programs: Python, R, MATLAB, SQL, and/or SAS
- 3+ years of experience translating complex quantitative methods into business insights and presenting to a non-technical audience
Preferred Qualifications:
- Ph.D. in a quantitative field such as Statistics, Economics, Applied Mathematics, Operations Research, Engineering, Physics, or related field
- 5+ years of experience managing multiple projects and working independently
- 1+ years of experience working in the automotive industry manipulating large scale data, performing analysis, and building statistical models
- 1+ years of experience in an analytics consulting capacity is desirable.
- Prefer experience with using machine learning or simulation methods
- Strong interest in creating solutions to problems
- Strong oral and written communication skills
- Proven ability to learn new technologies
At Ford Motor Company, the distance between you and an amazing career has never been shorter. Join the Ford team today, and discover the benefits, rewards and development opportunities you’d expect from a diverse global leader.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.
Ford Motor Company is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. Ford Motor Company also is committed to take affirmative action to employ and advance in employment such persons.